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Masao Yamagishi
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2020 – today
- 2023
- [j12]Yang Chen, Masao Yamagishi, Isao Yamada:
A Unified Design of Generalized Moreau Enhancement Matrix for Sparsity Aware LiGME Models. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 106(8): 1025-1036 (2023) - 2022
- [j11]Riku Akema, Masao Yamagishi, Isao Yamada:
A Robust Canonical Polyadic Tensor Decomposition via Structured Low-Rank Matrix Approximation. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 105-A(1): 11-24 (2022) - 2021
- [j10]Yang Chen, Masao Yamagishi, Isao Yamada:
A Linearly Involved Generalized Moreau Enhancement of ℓ2, 1-Norm with Application to Weighted Group Sparse Classification. Algorithms 14(11): 312 (2021) - [j9]Riku Akema, Masao Yamagishi, Isao Yamada:
Approximate Simultaneous Diagonalization of Matrices via Structured Low-Rank Approximation. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 104-A(4): 680-690 (2021) - [c39]Ryota Komatsu, Masao Yamagishi, Isao Yamada:
A Graph Regularized RPCA by Generalized Moreau Enhanced Model. EUSIPCO 2021: 2129-2133 - [c38]Yang Chen, Masao Yamagishi, Isao Yamada:
A Generalized Moreau Enhancement of $\ell_{2, 1}$ -norm and Its Application to Group Sparse Classification. EUSIPCO 2021: 2134-2138 - [c37]Wataru Yata, Masao Yamagishi, Isao Yamada:
A Constrained Linearly Involved Generalized Moreau Enhanced Model and Its Proximal Splitting Algorithm. MLSP 2021: 1-6 - 2020
- [j8]Anh-Huy Phan, Masao Yamagishi, Danilo P. Mandic, Andrzej Cichocki:
Quadratic programming over ellipsoids with applications to constrained linear regression and tensor decomposition. Neural Comput. Appl. 32(11): 7097-7120 (2020) - [c36]Riku Akema, Masao Yamagishi, Isao Yamada:
Exploiting Commutativity Condition for CP Decomposition Via Approximate Simultaneous Diagonalization. ICASSP 2020: 3287-3291 - [i2]Riku Akema, Masao Yamagishi, Isao Yamada:
Approximate Simultaneous Diagonalization of Matrices via Structured Low-Rank Approximation. CoRR abs/2010.06305 (2020)
2010 – 2019
- 2019
- [c35]Hiroki Kuroda, Masao Yamagishi, Isao Yamada:
Piecewise Affine System Identification by Exploiting Sparsity in Tight-Dimensional Spaces. ACC 2019: 4356-4361 - [c34]Hiroki Kuroda, Masao Yamagishi, Isao Yamada:
Segmentation of Piecewise ARX Processes by Exploiting Sparsity in Tight-Dimensional Spaces. EUSIPCO 2019: 1-5 - [c33]Jiro Abe, Masao Yamagishi, Isao Yamada:
Convexity-edge-preserving Signal Recovery with Linearly Involved Generalized Minimax Concave Penalty Function. ICASSP 2019: 4918-4922 - [c32]Riku Akema, Masao Yamagishi, Isao Yamada:
An Alternating Projection Algorithm for Approximate Simultaneous Diagonalization. ICASSP 2019: 4973-4977 - [i1]Jiro Abe, Masao Yamagishi, Isao Yamada:
Linearly Involved Generalized Moreau Enhanced Models and Their Proximal Splitting Algorithm under Overall Convexity Condition. CoRR abs/1910.10337 (2019) - 2018
- [j7]Kenji Kakimoto, Masao Yamagishi, Isao Yamada:
Smoothing of adaptive eigenvector extraction in nested orthogonal complement structure with minimum disturbance principle. Multidimens. Syst. Signal Process. 29(1): 433-465 (2018) - [j6]Hiroki Kuroda, Masao Yamagishi, Isao Yamada:
Exploiting Sparsity in Tight-Dimensional Spaces for Piecewise Continuous Signal Recovery. IEEE Trans. Signal Process. 66(24): 6363-6376 (2018) - [c31]Masao Yamagishi, Masaya Endo, Isao Yamada:
A DDoS Attack Detection by Group-Sparse Plus Low-Rank Temporally-Smooth Decomposition for Extended OD Flow Matrix. APSIPA 2018: 1580-1585 - [c30]Kwangjin Jeong, Masahiro Yukawa, Masao Yamagishi, Isao Yamada:
Automatic Shrinkage Tuning Robust to Input Correlation for Sparsity-Aware Adaptive Filtering. ICASSP 2018: 4314-4318 - [c29]Hiroki Kuroda, Masao Yamagishi, Isao Yamada:
Alternating Minimization Approach for Identification of Piecewise Continuous Hammerstein Systems. ICASSP 2018: 4389-4393 - [c28]Masao Yamagishi, Isao Yamada:
Sparsity-Aware Adaptive Proximal Forward-Backward Splitting Under The Principle Of Minimal Disturbance. SSP 2018: 533-537 - [c27]Riku Akema, Masao Yamagishi, Isao Yamada:
An Efficient Greedy Algorithm for finding the Nearest Simultaneous Diagonalizable Family. SSP 2018: 771-775 - 2017
- [c26]Anh Huy Phan, Masao Yamagishi, Andrzej Cichocki:
An augmented Lagrangian algorithm for decomposition of symmetric tensors of order-4. ICASSP 2017: 2547-2551 - [c25]Masao Yamagishi, Isao Yamada:
Global behavior of parallel projection method for certain nonconvex feasibility problems. ICASSP 2017: 4049-4053 - [c24]Kenji Kakimoto, Masao Yamagishi, Isao Yamada:
Acceleration of Adaptive normalized quasi-Newton algorithm with improved upper bounds of the condition number. ICASSP 2017: 4267-4271 - [c23]Masao Yamagishi, Masahiro Yukawa, Isao Yamada:
Automatic shrinkage tuning based on a system-mismatch estimate for sparsity-aware adaptive filtering. ICASSP 2017: 4800-4804 - 2016
- [j5]Hiroki Kuroda, Masao Yamagishi, Isao Yamada:
Nonlinear Acoustic Echo Cancellation by Exact-Online Adaptive Alternating Minimization. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 99-A(11): 2027-2036 (2016) - [j4]Masaki Onuki, Shunsuke Ono, Masao Yamagishi, Yuichi Tanaka:
Graph Signal Denoising via Trilateral Filter on Graph Spectral Domain. IEEE Trans. Signal Inf. Process. over Networks 2(2): 137-148 (2016) - [c22]Kenji Kakimoto, Daichi Kitahara, Masao Yamagishi, Isao Yamada:
Stabilization of adaptive eigenvector extraction by continuation in nested orthogonal complement structure. ICASSP 2016: 4189-4193 - [c21]Shunsuke Ono, Masao Yamagishi, Takamichi Miyata, Itsuo Kumazawa:
Image restoration using a stochastic variant of the alternating direction method of multipliers. ICASSP 2016: 4523-4527 - [c20]Masao Yamagishi, Daichi Kitahara, Isao Yamada:
A fast dual iterative algorithm for convexly constrained spline smoothing. ICASSP 2016: 4538-4542 - 2015
- [j3]Naoki Tomida, Toshihisa Tanaka, Shunsuke Ono, Masao Yamagishi, Hiroshi Higashi:
Active Data Selection for Motor Imagery EEG Classification. IEEE Trans. Biomed. Eng. 62(2): 458-467 (2015) - [c19]Masao Yamagishi, Isao Yamada:
A nonexpansive operator for computationally efficient hierarchical convex optimization. APSIPA 2015: 1100-1106 - [c18]Tomonori Fujiwara, Masao Yamagishi, Isao Yamada:
Reduced-rank modeling of time-varying spectral patterns for supervised source separation. ICASSP 2015: 3307-3311 - [c17]Daichi Kitahara, Masao Yamagishi, Isao Yamada:
A virtual resampling technique for algebraic two-dimensional phase unwrapping. ICASSP 2015: 3871-3875 - [c16]Masao Yamagishi, Seisuke Kyochi, Keiichiro Shirai, Masahiro Okuda:
A regularization approach for bayer reconstruction in lossy image coding by inverse demosaicing. ICIP 2015: 334-338 - 2014
- [c15]Naoki Tomida, Masao Yamagishi, Isao Yamada, Toshihisa Tanaka:
A reduced rank approach for covariance matrix estimation in EEG signal classification. EMBC 2014: 668-671 - [c14]Hiroki Kuroda, Masao Yamagishi, Isao Yamada:
Avoiding local trap in nonlinear acoustic echo cancellation with clipping compensation. ICASSP 2014: 1310-1314 - [c13]Katsuhiro Toyokawa, Shunsuke Ono, Masao Yamagishi, Isao Yamada:
Detecting edges of reflections from a single image via convex optimization. ICASSP 2014: 3400-3404 - [c12]Masao Yamagishi, Masahiro Yukawa, Isao Yamada:
Shrinkage tuning based on an unbiased MSE estimate for sparsity-aware adaptive filtering. ICASSP 2014: 5477-5481 - [c11]Wemer M. Wee, Masao Yamagishi, Isao Yamada:
Mean-square performance of the hyperslab-based adaptive projected subgradient method. ICASSP 2014: 6384-6388 - 2013
- [j2]Hiroki Kuroda, Shunsuke Ono, Masao Yamagishi, Isao Yamada:
Exploiting Group Sparsity in Nonlinear Acoustic Echo Cancellation by Adaptive Proximal Forward-Backward Splitting. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 96-A(10): 1918-1927 (2013) - [c10]Masao Yamagishi, Isao Yamada:
Exploiting sparsity in feed-forward active noise control with adaptive Douglas-Rachford splitting. APSIPA 2013: 1-6 - [c9]Masao Yamagishi, Isao Yamada:
A rank selection of MV-PURE with an unbiased predicted-MSE criterion and its efficient implementation in image restoration. ICASSP 2013: 1573-1577 - [c8]Shunsuke Ono, Masao Yamagishi, Isao Yamada:
A sparse system identification by using adaptively-weighted total variation via a primal-dual splitting approach. ICASSP 2013: 6029-6033 - 2012
- [c7]Takayuki Yamamoto, Masao Yamagishi, Isao Yamada:
Adaptive proximal forward-backward splitting for sparse system identification under impulsive noise. EUSIPCO 2012: 2620-2624 - [c6]Masao Yamagishi, Shunsuke Ono, Isao Yamada:
Two variants of alternating direction method of multipliers without certain inner iterations and their application to image super-resolution. ICASSP 2012: 3661-3664 - [c5]Masahiro Yukawa, Yuta Tawara, Masao Yamagishi, Isao Yamada:
Sparsity-aware adaptive filters based on ℓp-norm inspired soft-thresholding technique. ISCAS 2012: 2749-2752 - 2011
- [c4]Isao Yamada, Silvia Gandy, Masao Yamagishi:
Sparsity-aware adaptive filtering based on a Douglas-Rachford splitting. EUSIPCO 2011: 1929-1933 - [c3]Masao Yamagishi, Masahiro Yukawa, Isao Yamada:
Acceleration of adaptive proximal forward-backward splitting method and its application to sparse system identification. ICASSP 2011: 4296-4299 - [p1]Isao Yamada, Masahiro Yukawa, Masao Yamagishi:
Minimizing the Moreau Envelope of Nonsmooth Convex Functions over the Fixed Point Set of Certain Quasi-Nonexpansive Mappings. Fixed-Point Algorithms for Inverse Problems in Science and Engineering 2011: 345-390 - 2010
- [c2]Yukihiro Murakami, Masao Yamagishi, Masahiro Yukawa, Isao Yamada:
A sparse adaptive filtering using time-varying soft-thresholding techniques. ICASSP 2010: 3734-3737
2000 – 2009
- 2009
- [c1]Masao Yamagishi, Isao Yamada:
An improvement of subgradient projection operator by composing monotonic functions. ICASSP 2009: 3397-3400 - 2008
- [j1]Masao Yamagishi, Isao Yamada:
A Deep Monotone Approximation Operator Based on the Best Quadratic Lower Bound of Convex Functions. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 91-A(8): 1858-1866 (2008)
Coauthor Index
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